As a fellow you will join our faculty in the Department of Biostatistics and work closely with a biostatistics faculty collaborating with the Childhood Cancer Survivorship Program (CCSP). You will develop innovative biostatistical methods for childhood cancer survivorship research and collaborate with CCSP investigators. Biostatistics methods will include complex survival analysis, longitudinal analysis, machine learning, and causal inference. You will benefit from access to unique datasets and expertise from two of the world’s largest pediatric survivorship studies, St. Jude Lifetime Cohort Study (SJLIFE) and the Childhood Cancer Survivor Study (CCSS), a top-ranked scientific environment, and superb benefits, mentoring, and professional development.

Eligibility

Successful applicants will have excellent communication skills and a Ph.D. in biostatistics, statistics, or a closely related field. Applicants must have experience in applied or method research in survival analysis, a strong computational background and demonstrate excellent written and verbal communication skills.

Job Posting Description:

St. Jude is seeking an outstanding candidate for a postdoctoral fellowship in biostatistics methods and applications involving pediatric cancer and catastrophic diseases.

A position is available in survival analysis, longitudinal data analysis, causal inference and predictive modeling using machine learning methods. St. Jude leads two of the world’s largest pediatric survivorship research studies, St. Jude Lifetime Cohort Study (SJLIFE) and the Childhood Cancer Survivor Study (CCSS), and the largest pediatric cancer genome database, St. Jude Cloud.

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